Stanford University
Showing 31,501-31,600 of 36,203 Results
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Hui Qi Tong
Clinical Professor, Psychiatry and Behavioral Sciences - Medical Psychiatry
BioClinical Professor, Stanford Department of Psychiatry & Behavioral Sciences
Clinical Associate Professor, Stanford Department of Psychiatry & Behavioral Sciences
HS Clinical Assistant Professor, UCSF Department of Psychiatry & San Francisco VA Health Care
Staff Psychologist: Women's Mental Health Program, San Francisco VA Health Care System
Academic visitor: Oxford Mindfulness Center, Department of Psychiatry, Oxford University
Psychology Post-doctoral Fellowship: UCSF/San Francisco VA Health Care System
Psychology Pre-doctoral Internship: UCSF/San Francisco VA Health Care System
Psychology Education: Pacific Graduate School of Psychology, Palo Alto University (2008)
Clinical Research Associate: Department of Psychiatry, Tufts University School of Medicine
Research Fellow: Genetics Division, Department of Medicine, Boston Children's Hospital,Harvard Medical School
Medical Education: Fudan University, Shanghai Medical College, Shanghai, China (1994) -
Matheus Tonholo Ikedo
Postdoctoral Scholar, Radiology
BioMatheus Tonholo Ikedo is a Postdoctoral Research Fellow at Stanford University’s Department of Radiology, where he conducts research under the guidance of Dr. Bruno P. Soares. His academic interests lie at the intersection of pediatric neuroradiology and artificial intelligence, specifically focusing on how AI-driven tools can optimize magnetic resonance imaging (MRI) diagnostics and improve healthcare delivery for neuropediatric patients.
A Brazilian-trained physician, Matheus earned his medical degree from the Federal University of São Paulo (UNIFESP) and completed his Radiology residency at the University of São Paulo (USP), where he was recognized with the Guerbet-InRad Best Resident Award in his final year. -
Alberto Tono
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2021
Ph.D. Minor, Computer Science
Grad RA student-Hourly, Institute for Human-Centered Artificial Intelligence (HAI)BioTono Alberto is a current PhD Student at Stanford under the supervision of Kumagai Professor: Martin Fischer. He is currently exploring ways in which the Convergence between Digital and Humanities can facilitate cross-pollination between different industries within an Ethical Framework focused on augmenting human intelligence.
He served as the Research and Computational Design Leader in Architectural and Engineering organizations, receiving the O1-visa for outstanding abilities with both HOK and HDR. Tono obtained his Masters in Building Engineering - Architecture from the University of Padua and the Harbin Institute of Technology under the supervision of Andrea Giordano, Carlo Zanchetta and Paolo Borin. He has been working in the computational design and deep learning space since 2014. Furthermore, he is improving Building Information Modeling and Virtual Design and Construction (BIM/VDC) workflows within a statistical framework to optimize the sustainability impact of these processes. Hence, Tono is LEED AP certified. He is an international multi-award-winning “hacker” and speaker, and his work within Architecture and Artificial Intelligence brought him to companies in China, the Netherlands, Italy, and California. Thanks to his multidisciplinary approach he worked as Data Scientist and Geometric Deep Learning Researcher at a Physna/Thangs helping to raise over 80 Milion while working on 3D Search and Monocular 3D Shape Retrieval problems.
Currently is focusing on better methodologies for Generative Building Design, centered on capturing design knowledge from the primordial and universal act of Sketching. -
Jack Topper
Graduate, Stanford Center for Professional Development
BioJack Topper is a Scientific Software Engineer at NASA’s Community Coordinated Modeling Center (CCMC), where he designs and operates large-scale scientific data and modeling systems supporting the global space-weather research community. His work focuses on automating high-performance computing workflows, building resilient data pipelines, and translating complex scientific models into reliable, user-facing services.
He collaborates closely with domain scientists to bridge research objectives and production-grade software, and has taken on technical leadership responsibilities spanning system architecture, reliability, and user adoption. His interests sit at the intersection of optimization, decision systems, machine learning, and large-scale infrastructure, with an emphasis on how mathematical models and data-driven methods inform real-world operational decisions.
Jack is currently pursuing Stanford’s Data, Models, and Optimization Certificate through the Stanford Center for Professional Development, including coursework in convex optimization and related decision-science foundations. -
Alice Tor
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
BioPhD candidate in Electrical Engineering, advised by Dr. Paul Nuyujukian
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Diana Tordoff
Instructor, Obstetrics & Gynecology - General
BioDiana M. Tordoff, PhD, MPH is an epidemiologist with expertise in LGBTQ+ health equity and gynecological health research. Dr. Tordoff completed her PhD and MPH in Epidemiology at the University of Washington and received a BA with honors in Mathematics from Vassar College. She is also an affiliated researcher with The PRIDE Study (pridestudy.org), where she recently completed a postdoctoral fellowship. Her current research focuses on the impact of exogenous hormones (gender affirming hormones and menopause hormone therapy) on sexual and gynecological health. Her research interests include sexual and reproductive health, menopause, the vaginal microbiome, molecular epidemiology, intersectionality, and community-engaged research methods.
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Natalie Torok
Professor of Medicine (Gastroenterology and Hepatology)
Current Research and Scholarly InterestsOur lab is focused on exploring the role of matrix remodeling in disease progression in metabolic dysfunction steatohepatitis (MASH)-related hepatocellular carcinoma and primary sclerosing cholangitis. Our goal is to uncover how biomechanical characteristics of the ECM affect mechano-sensation, and how these pathways could ultimately be targeted. We are also interested in aging and its effects on metabolic pathways in MASH and HCC.
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Lénie Torregrossa, PhD
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
BioDr. Lénie Torregrossa is a clinical psychologist and Clinical Assistant Professor in the Department of Psychiatry and Behavioral Sciences at the Stanford University School of Medicine. At Stanford, she works on the inpatient psychiatric units and the INSPIRE clinic. Dr. Torregrossa was previously a research psychologist in the brain imaging and EEG lab at the University of San Francisco (UCSF).
She specializes in schizophrenia spectrum disorders, psychosis, and serious mental illness. Her approach to treatment is person centered and recovery focused, grounded in cognitive behavioral therapy (CBT) and informed by acceptance and commitment therapy (ACT). She emphasizes collaboration, values-based living, and meaningful functional goals.
Dr. Torregrossa's research focuses on risk and protective factors for schizophrenia-spectrum disorders, self-disturbances in schizophrenia, and improving treatments for psychosis.
She has published articles in many peer-reviewed journals, including JAMA Network Open, Schizophrenia Bulletin, Schizophrenia Research, and Frontiers in Psychiatry. She has presented to her peers at international, national, and regional meetings, including the European Conference on Schizophrenia Research, the International Consortium for Schizotypy Research, the Congress of the Schizophrenia International Research Society, and the Annual Meeting of the Society for Research in Psychopathology.
Dr. Torregrossa is a member of the Schizophrenia International Research Society, the Society of Biological Psychiatry, the American Psychological Association, and the North America CBT for Psychosis Network. -
Alejandro Emmanuel Torres
Associate Director of Technology, FAO
Current Role at StanfordAssociate Director of Technology, Central Office of Financial Aid
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Hulya Torun
Postdoctoral Scholar, Neurology and Neurological Sciences
BioHulya Torun is a postdoctoral fellow at Stanford Neurology and Neurological Sciences, continuing her specialization in Biomedical Sciences and Engineering. Her focus involves brain aging & neurodegeneration and diagnostic technologies for the accurate detection of brain tumors and diseases. Hulya is dedicated to making significant contributions to medicine through translational research using engineering techniques and artificial intelligence. Notably, she has been selected as Stanford Representative for a Pediatric Brain Tumor Fellowship Application, a finalist for the Stanford Biodesign MEDTech Spectrum Grant, and the recipient of the Stanford Cancer Institute Mikitani Cancer Research Grant as a Co-PI, OPTICA Zuegel Scholarship, ISEV 2024 International Researcher Award, 1st place in KUIMPACT 2023 Patent Competition, SNO 2023 International Outreach Scholar Award, 3rd place in KUIMPACT 2021 Patent Competition, and SPIE Student Travel Grant, underscoring her commitment to impactful translational research through innovation.
Beyond her academic pursuits, Hulya actively engages in mentorship programs, notably serving as a mentor in the Stanford Canary CREST Program, supported by the National Cancer Institute (NCI), where she guides undergraduate students from diverse backgrounds. Additionally, she holds the esteemed position of President of Stanford Optical Society after her former position as the Co-Chair of the Stanford University Photonics Retreat (SUPR 2024), showcasing her leadership capabilities within the academic community. Her multidimensional engagement, strong research acumen, and dedication to advancing healthcare technology underscore her potential as a future leader in the realm of neuroengineering. Outside of her research endeavors, Hulya is an avid participant in professional extracurricular activities such as dancing and volleyball, reflecting her well-rounded approach to personal and professional development. -
Caitlin Marie Toth
Assistant Clinical Research Coordinator, Emergency Medicine
Current Role at StanfordAssistant Clinical Research Coordinator
Stanford School of Medicine
Emergency Medicine Research
